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AP Calculus
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AP Statistics
AP Stats Tutorial
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Exploring Data
The basics
Variables
Population vs sample
Central tendency
Variability
Position
Charts and graphs
Patterns in data
Dotplots
Histograms
Stemplots
Boxplots
Cumulative frequency plots
Scatterplots
Comparing distributions
Regression
Scales of measurement
Correlation
Simple linear regression
Regression example
Residuals, outliers, etc.
Transformations for linearity
Categorical data
One-way tables
Two-way tables
Planning a Study
Data collection
Survey sampling
Survey sampling methods
Bias in survey sampling
Experiments
Introduction to experiments
Experimental design
Anticipating Patterns
Probability
Introduction to probability
Rules of probability
Random variables
Types of random variables
Probability distributions
Random variable attributes
Random variable combinations
Linear transformations
Simulation of random events
Discrete variables
Binomial distribution
Geometric distribution
Continuous variables
Normal distribution
Standard normal distribution
t Distribution
Chi-square distribution
Sampling distributions
Sampling distributions
Difference between proportions
Difference between means
Statistical Inference
Estimation
Estimation problems
Standard error
Margin of error
Confidence intervals
Estimation problems
Proportions
Difference between proportions
Means
Difference between means
Difference between matched pairs
Regression slope
Hypothesis testing
Tests of significance
Power of a hypothesis test
How to test hypotheses
Hypothesis tests
Proportions
Difference between proportions
Mean
Difference between means
Difference between matched pairs
Chi-square goodness of fit test
Chi-square test for homogeneity
Chi-square test for independence
Regression slope
Appendices
Practice Exam
Notation
AP Statistics Formulas
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- The basics
- Variables
- Population vs sample
- Central tendency
- Variability
- Position
- Charts and graphs
- Patterns in data
- Dotplots
- Histograms
- Stemplots
- Boxplots
- Cumulative frequency plots
- Scatterplots
- Comparing distributions
- Regression
- Scales of measurement
- Correlation
- Simple linear regression
- Regression example
- Residuals, outliers, etc.
- Transformations for linearity
- Categorical data
- One-way tables
- Two-way tables
Planning a Study- Data collection
- Survey sampling
- Survey sampling methods
- Bias in survey sampling
- Experiments
- Introduction to experiments
- Experimental design
Anticipating Patterns- Probability
- Introduction to probability
- Rules of probability
- Random variables
- Types of random variables
- Probability distributions
- Random variable attributes
- Random variable combinations
- Linear transformations
- Simulation of random events
- Discrete variables
- Binomial distribution
- Geometric distribution
- Continuous variables
- Normal distribution
- Standard normal distribution
- t Distribution
- Chi-square distribution
- Sampling distributions
- Sampling distributions
- Difference between proportions
- Difference between means
Statistical Inference- Estimation
- Estimation problems
- Standard error
- Margin of error
- Confidence intervals
- Estimation problems
- Proportions
- Difference between proportions
- Means
- Difference between means
- Difference between matched pairs
- Regression slope
- Hypothesis testing
- Tests of significance
- Power of a hypothesis test
- How to test hypotheses
- Hypothesis tests
- Proportions
- Difference between proportions
- Mean
- Difference between means
- Difference between matched pairs
- Chi-square goodness of fit test
- Chi-square test for homogeneity
- Chi-square test for independence
- Regression slope
Appendices